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RPMArt
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2026-03-01 02:38:21
raw text
RPMArt Related Work A-PIE GAMMA RPMArt : Towards R obust P erception and M anipulation for Art iculated Objects IEEE/RSJ International Conference on Intelligent Robots and Systems ( IROS ) 2024 Junbo Wang 1 , Wenhai Liu 1 , Qiaojun Yu 1 , Yang You 2 , Liu Liu 3 , Weiming Wang 1 , Cewu Lu 1 1 Shanghai Jiao Tong University , 2 Stanford University , 3 Hefei University of Technology Paper Poster Video Code Model Data Abstract Articulated objects are commonly found in daily life. It is essential that robots can exhibit robust perception and manipulation skills for articulated objects in real-world robotic applications. However, existing methods for articulated objects insufficiently address noise in point clouds and struggle to bridge the gap between simulation and reality, thus limiting the practical de...
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